About

Qing Shi is a pioneering robotics researcher whose work spans microrobotics, biomimetic systems, and biohybrid intelligence. Best known for developing sophisticated rat-like robots and cutting-edge miniature robotic platforms, Shi has made transformative contributions to how machines perceive, navigate, and interact with complex biological and physical environments. Shi's landmark research on ionic shape-morphing microrobotic end-effectors (180 citations) demonstrated elegant solutions for adaptive targeting and sampling using a single actuation source — a breakthrough for microscale systems where multiple actuators are impractical. Complementing this, his work on magnetic miniature robots and helical microrobots advances biomedical applications in confined, unpredictable environments. His widely read overview of biomimetic robots (110 citations) has become an essential reference for researchers entering the field. Perhaps most distinctively, Shi's decade-long series on robotic rats — from behavioral modulation studies in 2013 to multimodal quadruped platforms in 2022 — showcases a rare commitment to translating animal biomechanics into functional robotics. His more recent foray into biological neural network-based neurorobotics (95 citations) signals an exciting frontier, exploring how living neural tissue can endow robots with genuine learning and memory capabilities. Collectively, Shi's portfolio represents a bold vision for intelligent, adaptive, and biologically inspired machines.

Research Focus

Key Achievements

20
H-Index
95
Papers
1,482
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Ionic shape-morphing microrobotic end-effectors for environmentally adaptive targeting, releasing, and sampling
180 citations · 2021
📈 Most Prolific Year: 2024 (11 Papers)
🤝 Key Collaborators: 214
🏛 Institutions: Beijing Institute of Technology, Beijing Advanced Sciences and Innovation Center, Waseda University, Wuhu Hit Robot Technology Research Institute, Ministry of Education of the People's Republic of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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